summary.emclust1 {mclust1998}R Documentation

Summary method for `emclust1' objects.

Description

Optimal model parameters for emclust1 objects.

Usage

summary.emclust1(object, data, nclus, ...)
print.summary.emclust1(x, ...)

Arguments

object an emclust1 or a summary.emclust1 object.
x an emclust1 or a summary.emclust1 object.
data the data used to obtain the emclust1 object.
nclus a vector of integers giving the number of clusters over which the summary is to take place (must be a subset of the column names of object). The default is to summarize over all numbers of clusters used in the original analysis.
... Further arguments:
modelid
a vector of character strings denoting the models over which the summary is to take place (must be a subset of the row names of object).
tree, smpl, noise, Vinv, equal

Value

A list giving the optimal (according to BIC) parameter and z values, together with the associated classification and its uncertainty.

See Also

emclust1

Examples

data(iris)
iris.bic <- emclust(iris[,1:4], nclus=3:5)
summary(iris.bic, iris[,1:4])


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